{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ab0b4c68",
   "metadata": {},
   "source": [
    "# 测试 ONNX relay 模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b2d6efbe",
   "metadata": {
    "tags": [
     "remove"
    ]
   },
   "outputs": [],
   "source": [
    "import set_env"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a2285d17",
   "metadata": {},
   "outputs": [],
   "source": [
    "import onnx\n",
    "from tvm import relay\n",
    "\n",
    "# path = \n",
    "onnx_model = onnx.load(path)\n",
    "mod, params = relay.frontend.from_onnx(onnx_model)#shape_dict, freeze_params=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2603b486",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"highlight\" style=\"background: \"><pre style=\"line-height: 125%;\"><span></span><span style=\"color: #008000; font-weight: bold\">def</span> <span style=\"color: #A2F\">@main</span>(<span style=\"color: #A2F; font-weight: bold\">%</span>input<span style=\"color: #008000\">.1</span>: Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">384</span>, <span style=\"color: #008000\">640</span>), float32] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">384</span>, <span style=\"color: #008000\">640</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_0<span style=\"color: #A2F; font-weight: bold\">.</span>input<span style=\"color: #008000\">.1</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">-&gt;</span> (Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) {\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span>input<span style=\"color: #008000\">.1</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">0</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_0<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, strides<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">192</span>, <span style=\"color: #008000\">320</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_0:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">1</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">0</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">1</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_0<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">192</span>, <span style=\"color: #008000\">320</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_0:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">2</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">2</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_1<span style=\"color: #008000\">.410</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">192</span>, <span style=\"color: #008000\">320</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_1:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">3</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">1</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">983040</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_1:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">4</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">2</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">983040</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_1:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">5</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">3</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">4</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">983040</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_1:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">6</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">5</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">192</span>, <span style=\"color: #008000\">320</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">192</span>, <span style=\"color: #008000\">320</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_1:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">7</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">6</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">3</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_2<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, strides<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_2:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">8</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">7</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_2<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_2:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">9</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">5</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_3<span style=\"color: #008000\">.411</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">8</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_3:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">10</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">8</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">491520</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_3:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">11</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">9</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">491520</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_3:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">12</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">10</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">11</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">491520</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_3:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">13</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">12</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_3:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">14</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">13</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">6</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_4<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_4:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">15</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">14</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">7</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_4<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_4:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">16</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">8</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_5<span style=\"color: #008000\">.412</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">15</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_5:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">17</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">15</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_5:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">18</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">16</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_5:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">19</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">17</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">18</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_5:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">20</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">19</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_5:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">21</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">20</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">9</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_6<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_6:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">22</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">21</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">10</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_6<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_6:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">23</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_7<span style=\"color: #008000\">.413</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">22</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_7:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">24</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">22</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_7:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">25</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">23</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_7:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">26</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">24</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">25</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_7:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">27</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">26</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_7:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">28</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">27</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">12</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_8<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_8:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">29</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">28</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">13</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_8<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_8:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">30</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">14</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_9<span style=\"color: #008000\">.414</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">29</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_9:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">31</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">29</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_9:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">32</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">30</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_9:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">33</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">31</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">32</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_9:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">34</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">33</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_9:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">35</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">13</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">15</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_11<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_11:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">36</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">35</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">16</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_11<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_11:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">37</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">17</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_12<span style=\"color: #008000\">.415</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">36</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_12:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">38</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">36</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_12:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">39</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">37</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_12:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">40</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">38</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">39</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_12:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">41</span> <span style=\"color: #A2F; font-weight: bold\">=</span> add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">20</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">34</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Add_10:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">42</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">40</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_12:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">43</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">41</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">42</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_13:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">44</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">43</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_13:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">45</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">44</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">18</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_14<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_14:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">46</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">45</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">19</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_14<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_14:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">47</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_15<span style=\"color: #008000\">.416</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">46</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_15:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">48</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">46</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">491520</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_15:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">49</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">47</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">491520</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_15:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">50</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">48</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">49</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">491520</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_15:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">51</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">50</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_15:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">52</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">51</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">21</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_16<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, strides<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_16:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">53</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">52</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">22</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_16<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_16:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">54</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">23</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_17<span style=\"color: #008000\">.417</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">53</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_17:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">55</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">53</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_17:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">56</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">54</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_17:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">57</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">55</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">56</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_17:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">58</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">57</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_17:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">59</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">58</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">24</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_18<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_18:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">60</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">59</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">25</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_18<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_18:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">61</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">26</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_19<span style=\"color: #008000\">.418</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">60</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_19:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">62</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">60</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_19:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">63</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">61</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_19:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">64</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">62</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">63</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_19:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">65</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">64</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_19:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">66</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">65</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">27</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_20<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_20:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">67</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">66</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">28</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_20<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_20:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">68</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">29</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_21<span style=\"color: #008000\">.419</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">67</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_21:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">69</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">67</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_21:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">70</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">68</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_21:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">71</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">69</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">70</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_21:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">72</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">71</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_21:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">73</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">72</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">30</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_22<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_22:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">74</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">73</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">31</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_22<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_22:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">75</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">32</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_23<span style=\"color: #008000\">.420</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">74</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_23:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">76</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">74</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_23:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">77</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">75</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_23:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">78</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">76</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">77</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_23:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">79</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">78</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_23:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">80</span> <span style=\"color: #A2F; font-weight: bold\">=</span> add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">65</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">79</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Add_24:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">81</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">80</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">33</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_25<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_25:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">82</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">81</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">34</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_25<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_25:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">83</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">35</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_26<span style=\"color: #008000\">.421</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">82</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_26:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">84</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">82</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_26:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">85</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">83</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_26:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">86</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">84</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">85</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_26:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">87</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">86</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_26:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">88</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">87</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">36</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_27<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_27:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">89</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">88</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">37</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_27<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_27:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">90</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">38</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_28<span style=\"color: #008000\">.422</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">89</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_28:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">91</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">89</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_28:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">92</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">90</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_28:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">93</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">91</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">92</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_28:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">94</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">93</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_28:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">95</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">58</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">39</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_30<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_30:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">96</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">95</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">40</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_30<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_30:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">97</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">41</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_31<span style=\"color: #008000\">.423</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">96</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_31:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">98</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">96</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_31:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">99</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">97</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_31:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">100</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">98</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">99</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_31:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">101</span> <span style=\"color: #A2F; font-weight: bold\">=</span> add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">80</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">94</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Add_29:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">102</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">100</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_31:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">103</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">101</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">102</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_32:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">104</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">103</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_32:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">105</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">104</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">42</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_33<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_33:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">106</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">105</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">43</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_33<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_33:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">107</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">44</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_34<span style=\"color: #008000\">.424</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">106</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_34:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">108</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">106</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_34:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">109</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">107</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_34:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">110</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">108</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">109</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_34:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">111</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">110</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_34:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">112</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">111</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">45</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">86</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_35<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, strides<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">86</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">86</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_35:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">113</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">112</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">46</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">86</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_35<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">86</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_35:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">114</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">47</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">86</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_36<span style=\"color: #008000\">.425</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">113</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">86</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_36:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">115</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">113</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">82560</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_36:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">116</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">114</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">82560</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_36:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">117</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">115</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">116</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">82560</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_36:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">118</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">117</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">86</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">86</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_36:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">119</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">118</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">48</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">86</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_37<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_37:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">120</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">119</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">49</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_37<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_37:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">121</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">50</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_38<span style=\"color: #008000\">.426</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">120</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_38:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">122</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">120</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_38:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">123</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">121</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_38:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">124</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">122</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">123</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_38:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">125</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">124</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_38:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">126</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">125</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">51</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_39<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_39:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">127</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">126</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">52</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_39<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_39:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">128</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">53</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_40<span style=\"color: #008000\">.427</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">127</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_40:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">129</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">127</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_40:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">130</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">128</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_40:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">131</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">129</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">130</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_40:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">132</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">131</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_40:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">133</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">132</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">54</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_41<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_41:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">134</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">133</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">55</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_41<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_41:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">135</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">56</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_42<span style=\"color: #008000\">.428</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">134</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_42:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">136</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">134</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_42:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">137</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">135</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_42:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">138</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">136</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">137</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_42:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">139</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">138</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_42:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">140</span> <span style=\"color: #A2F; font-weight: bold\">=</span> add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">125</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">139</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Add_43:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">141</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">140</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">57</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_44<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_44:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">142</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">141</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">58</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_44<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_44:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">143</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">59</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_45<span style=\"color: #008000\">.429</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">142</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_45:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">144</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">142</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_45:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">145</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">143</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_45:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">146</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">144</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">145</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_45:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">147</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">146</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_45:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">148</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">147</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">60</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_46<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_46:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">149</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">148</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">61</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_46<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_46:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">150</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">62</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_47<span style=\"color: #008000\">.430</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">149</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_47:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">151</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">149</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_47:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">152</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">150</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_47:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">153</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">151</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">152</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_47:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">154</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">153</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_47:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">155</span> <span style=\"color: #A2F; font-weight: bold\">=</span> add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">140</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">154</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Add_48:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">156</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">155</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">63</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_49<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_49:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">157</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">156</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">64</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_49<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_49:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">158</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">65</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_50<span style=\"color: #008000\">.431</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">157</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_50:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">159</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">157</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_50:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">160</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">158</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_50:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">161</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">159</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">160</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_50:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">162</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">161</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_50:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">163</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">162</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">66</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_51<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_51:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">164</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">163</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">67</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_51<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_51:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">165</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">68</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_52<span style=\"color: #008000\">.432</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">164</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_52:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">166</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">164</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_52:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">167</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">165</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_52:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">168</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">166</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">167</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_52:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">169</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">168</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_52:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">170</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">118</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">69</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">86</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_54<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_54:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">171</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">170</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">70</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_54<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_54:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">172</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">71</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_55<span style=\"color: #008000\">.433</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">171</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_55:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">173</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">171</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_55:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">174</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">172</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_55:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">175</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">173</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">174</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_55:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">176</span> <span style=\"color: #A2F; font-weight: bold\">=</span> add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">155</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">169</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Add_53:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">177</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">175</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_55:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">178</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">176</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">177</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_56:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">179</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">178</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_56:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">180</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">179</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">72</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">88</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_57<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">88</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">88</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_57:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">181</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">180</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">73</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">88</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_57<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">88</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_57:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">182</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">74</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">88</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_58<span style=\"color: #008000\">.434</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">181</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">88</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_58:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">183</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">181</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">84480</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_58:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">184</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">182</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">84480</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_58:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">185</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">183</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">184</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">84480</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_58:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">186</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">185</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">88</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">88</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_58:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">187</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">186</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">75</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">88</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_59<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.7</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, strides<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">75</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_59:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">188</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">187</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">76</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_59<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.7</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_59:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">189</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">77</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_60<span style=\"color: #008000\">.435</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">188</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_60:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">190</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">188</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_60:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">191</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">189</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_60:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">192</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">190</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">191</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_60:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">193</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">192</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_60:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">194</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">193</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">78</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_61<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">75</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_61:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">195</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">194</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">79</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_61<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_61:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">196</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">80</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_62<span style=\"color: #008000\">.436</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">195</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_62:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">197</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">195</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_62:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">198</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">196</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_62:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">199</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">197</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">198</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_62:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">200</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">199</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_62:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">201</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">200</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">81</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">85</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_63<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">85</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">85</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_63:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">202</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">201</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">82</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">85</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_63<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">85</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_63:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">203</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">83</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">85</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_64<span style=\"color: #008000\">.437</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">202</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">85</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_64:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">204</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">202</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20400</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_64:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">205</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">203</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20400</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_64:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">206</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">204</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">205</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20400</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_64:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">207</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">206</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">85</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">85</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_64:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">208</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">207</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">84</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">85</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_65<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">75</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_65:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">209</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">208</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">85</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_65<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_65:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">210</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">86</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_66<span style=\"color: #008000\">.438</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">209</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_66:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">211</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">209</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_66:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">212</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">210</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_66:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">213</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">211</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">212</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_66:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">214</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">213</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_66:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">215</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">193</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">87</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">90</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_68<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">90</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">90</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_68:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">216</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">215</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">88</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">90</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_68<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">90</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_68:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">217</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">89</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">90</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_69<span style=\"color: #008000\">.439</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">216</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">90</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_69:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">218</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">216</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">21600</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_69:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">219</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">217</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">21600</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_69:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">220</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">218</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">219</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">21600</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_69:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">221</span> <span style=\"color: #A2F; font-weight: bold\">=</span> add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">200</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">214</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Add_67:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">222</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">220</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">90</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">90</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_69:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">223</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">221</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">222</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">90</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_70:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">224</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">223</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">165</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_70:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">225</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">224</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">90</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">165</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_71<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">69</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_71:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">226</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">225</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">91</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_71<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_71:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">227</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">92</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_72<span style=\"color: #008000\">.440</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">226</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_72:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">228</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">226</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16560</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_72:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">229</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">227</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16560</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_72:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">230</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">228</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">229</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16560</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_72:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">231</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">230</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_72:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">232</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">231</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">93</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_73<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">87</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_73:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">233</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">232</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">94</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_73<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_73:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">234</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">95</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_74<span style=\"color: #008000\">.441</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">233</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_74:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">235</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">233</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_74:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">236</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">234</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_74:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">237</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">235</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">236</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_74:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">238</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">237</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_74:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">239</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">238</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">96</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_75<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">76</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_75:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">240</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">239</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">97</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">76</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_75<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_75:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">241</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">240</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">98</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_76<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">87</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_76:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">242</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">241</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">99</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_76<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_76:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">243</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">242</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">96</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_75<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">76</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_77:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">244</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">243</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">97</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">76</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_75<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_77:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">245</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">244</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">98</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_76<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">87</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_78:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">246</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">245</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">99</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_76<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_78:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">247</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">246</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">96</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_75<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">76</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_79:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">248</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">247</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">97</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">76</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_75<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_79:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">249</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">248</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">98</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_76<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">87</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_80:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">250</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">249</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">99</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_76<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_80:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">251</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">238</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">242</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">246</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">250</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_81:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">252</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">251</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">348</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_81:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">253</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">252</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">100</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">62</span>, <span style=\"color: #008000\">348</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_82<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">62</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">62</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_82:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">254</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">253</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">101</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">62</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_82<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">62</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_82:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">255</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">102</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">62</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_83<span style=\"color: #008000\">.442</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">254</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">62</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_83:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">256</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">254</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">14880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_83:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">257</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">255</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">14880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_83:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">258</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">256</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">257</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">14880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_83:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">259</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">258</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">62</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">62</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_83:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">260</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">259</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">103</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">62</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_84<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.10</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">69</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_84:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">261</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">260</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">104</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_84<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.10</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_84:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">262</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">105</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_85<span style=\"color: #008000\">.443</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">261</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_85:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">263</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">261</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16560</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_85:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">264</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">262</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16560</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_85:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">265</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">263</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">264</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16560</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_85:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">266</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">265</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_85:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">267</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d_transpose(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">266</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">106</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">4</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>ConvTranspose_86<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.11</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">69</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">4</span>], strides<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], groups<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">69</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>ConvTranspose_86:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">268</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">267</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">107</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>ConvTranspose_86<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.11</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>ConvTranspose_86:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">269</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">268</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">108</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_87<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.12</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], groups<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">69</span>, channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">69</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_87:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">270</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">269</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">109</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_87<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.12</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_87:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">271</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">110</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_88<span style=\"color: #008000\">.444</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">270</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_88:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">272</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">270</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">66240</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_88:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">273</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">271</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">66240</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_88:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">274</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">272</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">273</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">66240</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_88:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">275</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">274</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_88:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">276</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">275</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">186</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">88</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_89:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">277</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">276</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">157</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_89:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">278</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">277</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">111</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">157</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_90<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_90:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">279</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">278</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">112</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_90<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_90:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">280</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">113</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_91<span style=\"color: #008000\">.445</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">279</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_91:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">281</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">279</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_91:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">282</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">280</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_91:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">283</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">281</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">282</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_91:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">284</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">283</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_91:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">285</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">284</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">114</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_92<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_92:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">286</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">285</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">115</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_92<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_92:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">287</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">116</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_93<span style=\"color: #008000\">.446</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">286</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_93:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">288</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">286</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_93:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">289</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">287</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_93:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">290</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">288</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">289</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_93:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">291</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">290</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_93:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">292</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">291</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">117</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_94<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_94:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">293</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">292</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">118</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_94<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_94:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">294</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">119</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_95<span style=\"color: #008000\">.447</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">293</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_95:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">295</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">293</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_95:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">296</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">294</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_95:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">297</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">295</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">296</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_95:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">298</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">277</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">120</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">157</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_96<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_96:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">299</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">298</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">121</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_96<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_96:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">300</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">122</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_97<span style=\"color: #008000\">.448</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">299</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_97:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">301</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">299</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_97:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">302</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">300</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_97:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">303</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">301</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">302</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_97:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">304</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">297</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_95:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">305</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">303</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_97:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">306</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">304</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">305</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_98:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">307</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">306</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_98:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">308</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">307</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">123</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">91</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_99<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">91</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">91</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_99:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">309</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">308</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">124</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">91</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_99<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">91</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_99:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">310</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">125</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">91</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_100<span style=\"color: #008000\">.449</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">309</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">91</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_100:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">311</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">309</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87360</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_100:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">312</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">310</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87360</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_100:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">313</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">311</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">312</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87360</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_100:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">314</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">313</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">91</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">91</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_100:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">315</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">314</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">126</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">91</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_101<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.15</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_101:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">316</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">315</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">127</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_101<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.15</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_101:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">317</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">128</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_102<span style=\"color: #008000\">.450</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">316</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_102:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">318</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">316</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_102:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">319</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">317</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_102:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">320</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">318</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">319</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_102:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">321</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">320</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_102:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">322</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d_transpose(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">321</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">129</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">4</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>ConvTranspose_103<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.16</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">4</span>], strides<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], groups<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>ConvTranspose_103:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">323</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">322</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">130</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>ConvTranspose_103<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.16</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>ConvTranspose_103:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">324</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">323</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">131</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_104<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.17</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], groups<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_104:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">325</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">324</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">132</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_104<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.17</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_104:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">326</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">133</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_105<span style=\"color: #008000\">.451</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">325</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_105:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">327</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">325</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_105:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">328</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">326</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_105:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">329</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">327</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">328</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">245760</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_105:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">330</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">329</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_105:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">331</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">330</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">111</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_106:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">332</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">331</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_106:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">333</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">332</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">134</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_107<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_107:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">334</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">333</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">135</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_107<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_107:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">335</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">136</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_108<span style=\"color: #008000\">.452</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">334</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_108:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">336</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">334</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_108:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">337</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">335</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_108:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">338</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">336</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">337</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_108:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">339</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">338</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_108:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">340</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">339</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">137</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_109<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_109:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">341</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">340</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">138</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_109<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_109:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">342</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">139</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_110<span style=\"color: #008000\">.453</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">341</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_110:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">343</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">341</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_110:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">344</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">342</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_110:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">345</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">343</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">344</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_110:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">346</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">345</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_110:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">347</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">346</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">140</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_111<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_111:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">348</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">347</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">141</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_111<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_111:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">349</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">142</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_112<span style=\"color: #008000\">.454</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">348</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_112:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">350</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">348</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_112:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">351</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">349</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_112:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">352</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">350</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">351</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_112:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">353</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">332</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">143</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_113<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_113:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">354</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">353</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">144</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_113<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_113:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">355</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">145</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_114<span style=\"color: #008000\">.455</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">354</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_114:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">356</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">354</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_114:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">357</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">355</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_114:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">358</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">356</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">357</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">122880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_114:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">359</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">352</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_112:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">360</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">358</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_114:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">361</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">359</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">360</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_115:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">362</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">361</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_115:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">363</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">362</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">146</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_116<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">61</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">61</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_116:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">364</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">363</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">147</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_116<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.19</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">61</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_116:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">365</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">148</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_117<span style=\"color: #008000\">.456</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">364</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">61</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_117:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">366</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">364</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">234240</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_117:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">367</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">365</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">234240</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_117:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">368</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">366</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">367</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">234240</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_117:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">369</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">368</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">61</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">61</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_117:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">370</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">369</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">149</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">61</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_146<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.26</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">27</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_146:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">371</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">370</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">150</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">27</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_146<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.26</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_146:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">372</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">369</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">151</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">61</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_118<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.20</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, strides<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_118:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">373</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">372</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">152</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_118<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.20</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_118:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">374</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">153</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_119<span style=\"color: #008000\">.457</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">373</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_119:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">375</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">373</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_119:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">376</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">374</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_119:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">377</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">375</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">376</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_119:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">378</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">377</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_119:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">379</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">378</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">314</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">91</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_120:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">380</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">379</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">155</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_120:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">381</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">380</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">154</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">155</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_121<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_121:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">382</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">381</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">155</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_121<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_121:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">383</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">156</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_122<span style=\"color: #008000\">.458</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">382</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_122:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">384</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">382</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_122:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">385</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">383</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_122:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">386</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">384</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">385</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_122:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">387</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">386</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_122:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">388</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">387</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">157</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_123<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_123:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">389</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">388</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">158</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_123<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_123:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">390</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">159</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_124<span style=\"color: #008000\">.459</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">389</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_124:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">391</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">389</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_124:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">392</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">390</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_124:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">393</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">391</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">392</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_124:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">394</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">393</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_124:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">395</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">394</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">160</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_125<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_125:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">396</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">395</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">161</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_125<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_125:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">397</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">162</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_126<span style=\"color: #008000\">.460</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">396</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_126:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">398</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">396</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_126:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">399</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">397</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_126:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">400</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">398</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">399</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_126:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">401</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">380</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">163</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">155</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_127<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_127:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">402</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">401</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">164</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_127<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_127:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">403</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">165</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_128<span style=\"color: #008000\">.461</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">402</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_128:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">404</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">402</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_128:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">405</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">403</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_128:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">406</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">404</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">405</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">61440</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_128:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">407</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">400</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_126:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">408</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">406</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_128:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">409</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">407</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">408</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_129:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">410</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">409</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_129:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">411</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">410</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">166</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">73</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_130<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">73</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">73</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_130:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">412</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">411</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">167</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">73</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_130<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.22</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">73</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_130:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">413</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">168</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">73</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_131<span style=\"color: #008000\">.462</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">412</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">73</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_131:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">414</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">412</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">70080</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_131:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">415</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">413</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">70080</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_131:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">416</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">414</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">415</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">70080</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_131:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">417</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">416</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">73</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">73</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_131:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">418</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">417</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">169</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">73</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_148<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.26</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">27</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_148:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">419</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">418</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">170</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">27</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_148<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.26</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_148:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">420</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">417</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">171</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">73</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_132<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.23</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, strides<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">87</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_132:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">421</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">420</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">172</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_132<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.23</span><span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_132:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">422</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">173</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_133<span style=\"color: #008000\">.463</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">421</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_133:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">423</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">421</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_133:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">424</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">422</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_133:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">425</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">423</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">424</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_133:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">426</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">425</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_133:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">427</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">426</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">266</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">69</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_134:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">428</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">427</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">156</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_134:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">429</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">428</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">174</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">156</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_135<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">87</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_135:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">430</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">429</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">175</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_135<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_135:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">431</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">176</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_136<span style=\"color: #008000\">.464</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">430</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_136:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">432</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">430</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_136:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">433</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">431</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_136:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">434</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">432</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">433</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">20880</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_136:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">435</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">434</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_136:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">436</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">435</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">177</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">89</span>, <span style=\"color: #008000\">87</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_137<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">89</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">89</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_137:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">437</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">436</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">178</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">89</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_137<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv1<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">89</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_137:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">438</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">179</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">89</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_138<span style=\"color: #008000\">.465</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">437</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">89</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_138:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">439</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">437</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">21360</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_138:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">440</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">438</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">21360</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_138:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">441</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">439</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">440</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">21360</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_138:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">442</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">441</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">89</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">89</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_138:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">443</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">442</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">180</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">95</span>, <span style=\"color: #008000\">89</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_139<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">95</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">95</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_139:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">444</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">443</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">181</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">95</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_139<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">95</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_139:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">445</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">182</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">95</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_140<span style=\"color: #008000\">.466</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">444</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">95</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_140:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">446</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">444</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">22800</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_140:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">447</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">445</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">22800</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_140:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">448</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">446</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">447</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">22800</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_140:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">449</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">428</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">183</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">156</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_141<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">76</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_141:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">450</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">449</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">184</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">76</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_141<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv2<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_141:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">451</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">185</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_142<span style=\"color: #008000\">.467</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">450</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_142:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">452</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">450</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18240</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_142:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">453</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">451</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18240</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_142:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">454</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">452</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">453</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18240</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_142:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">455</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">448</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">95</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">95</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_140:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">456</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">454</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_142:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">457</span> <span style=\"color: #A2F; font-weight: bold\">=</span> (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">455</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">456</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">95</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">76</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_143:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">458</span> <span style=\"color: #A2F; font-weight: bold\">=</span> concatenate(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">457</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">171</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Concat_143:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">459</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">458</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">186</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">171</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_144<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">75</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_144:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">460</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">459</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">187</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_144<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.25</span><span style=\"color: #A2F; font-weight: bold\">.</span>cv3<span style=\"color: #A2F; font-weight: bold\">.</span>conv<span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_144:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">461</span> <span style=\"color: #A2F; font-weight: bold\">=</span> broadcast_to_like(meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">188</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_145<span style=\"color: #008000\">.468</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">460</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_145:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">462</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">460</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_145:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">463</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">461</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #A2F; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_145:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">464</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>prelu(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">462</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">463</span>, axis<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">0</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">18000</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_145:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">465</span> <span style=\"color: #A2F; font-weight: bold\">=</span> reshape(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">464</span>, newshape<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>PRelu_145:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">466</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>conv2d(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">465</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">189</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">75</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_150<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.26</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>, padding<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #A2F; font-weight: bold\">=</span><span style=\"color: #008000\">27</span>, kernel_size<span style=\"color: #A2F; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_150:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">467</span> <span style=\"color: #A2F; font-weight: bold\">=</span> nn<span style=\"color: #A2F; font-weight: bold\">.</span>bias_add(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">466</span>, meta[relay<span style=\"color: #A2F; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">190</span>] <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">27</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_150<span style=\"color: #A2F; font-weight: bold\">.</span>model<span style=\"color: #008000\">.26</span><span style=\"color: #A2F; font-weight: bold\">.</span>m<span style=\"color: #008000\">.2</span><span style=\"color: #A2F; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Conv_150:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">468</span> <span style=\"color: #A2F; font-weight: bold\">=</span> sigmoid(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">371</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Sigmoid_147:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">469</span> <span style=\"color: #A2F; font-weight: bold\">=</span> sigmoid(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">419</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Sigmoid_149:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">470</span> <span style=\"color: #A2F; font-weight: bold\">=</span> sigmoid(<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">467</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #A2F; font-weight: bold\">=</span>Sigmoid_151:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #A2F; font-weight: bold\">*/</span>;\n",
       "  (<span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">468</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">469</span>, <span style=\"color: #A2F; font-weight: bold\">%</span><span style=\"color: #008000\">470</span>) <span style=\"color: #A2F; font-weight: bold\">/*</span> ty<span style=\"color: #A2F; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">27</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) <span style=\"color: #A2F; font-weight: bold\">*/</span>\n",
       "}\n",
       "</pre></div>\n"
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